Evidence map›Paper›PMID 20924392›Full record

SynthesisEuropean journal of clinical nutrition2010

β-glucan from barley and its lipid-lowering capacity: a meta-analysis of randomized, controlled trials.

S S AbuMweis, S Jew, N P Ames

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of clinical nutrition, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 4 pooled it
5.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 4 syntheses or guidelines pooled it, 153 citations in OpenAlex.

  1. Pooled it
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  16. Review
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  18. Dietary Fiber: An Opportunity for a Global Control of Hyperlipidemia.Oxidative medicine and cellular longevity · 2021
    Review
  19. Article
  20. Radiation Degradation ofPolymers · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

S S AbuMweisDepartment of Clinical Nutrition and Dietetics, Faculty of Allied Health Sciences, The Hashemite University, Zarqa, Jordan.
S Jew
N P Ames
Agriculture and Agri-Food Canada · CAHashemite University · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesTo more precisely quantify the effect of barley β-glucan on blood lipid concentrations in humans and to examine the factors that could affect its efficacy. SUBJECTS/

methodsEleven eligible randomized clinical trials published from 1989 to 2008 were identified from nine databases. Weighted mean effect sizes were calculated for net differences in lipid profile using a random effect model (RevMan 4.2).

resultsOverall, barley and β-glucan isolated from barley lowered total and low-density lipoprotein (LDL) cholesterol concentrations by 0.30 mmol/l (95% confidence interval (CI): -0.39 to -0.21, P<0.00001) and 0.27 mmol/l (95% CI: -0.34 to -0.20, P<0.00001), respectively, compared with control. The pattern of cholesterol-lowering action of barley in this analysis could not be viewed as a dose-dependent response. There were no significant subgroup differences by type of intervention and food matrix.

conclusionsIncreased consumption of barely products should be considered as a dietary approach to reduce LDL cholesterol concentrations.

Indexed as

PhytotherapyPlant Preparationsbeta-GlucansCholesterol, HDLCholesterol, LDLCross-Over StudiesHordeumHumansHypercholesterolemiaRandomized Controlled Trials as TopicTriglyceridesbeta-GlucansCholesterol, HDLCholesterol, LDLPlant PreparationsTriglycerides

Identifiers

PMID20924392
OpenAlexW2015982724

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.